Research on the impact of re-electrication in the transportation sector on carbon emission and pollutant emission in Yunnan province

2021 ◽  
Author(s):  
Youfeng Xu ◽  
Junyu Liang ◽  
Beibei Cheng ◽  
Weizhi He ◽  
Jie Shu ◽  
...  
Keyword(s):  
Carbon Emission ◽  
Yunnan Province ◽  
Pollutant Emission ◽  
Transportation Sector ◽  
The Impact

Examining the Impact and Influencing Channels of Emission Trading Pilot Markets in China

2020 ◽  
Vol 11 (1) ◽  
pp. 136-136
Author(s):  
Qiong Wu ◽  
Kanittha Tambunlertchai ◽  
Pongsa Pornchaiwiseskul
Keyword(s):  
Total Factor Productivity ◽  
Co2 Emission ◽  
Carbon Emission ◽  
Emission Trading ◽  
Chinese Government ◽  
Synergy Effect ◽  
Factor Productivity ◽  
Plan Period ◽  
Carbon Emission Trading ◽  
The Impact

The global warming has become a serious issue in the world since the 1980s. The targets for the first commitment period of the Kyoto Protocol cover emissions of the six main greenhouse gasses (GHGs). China is the world's largest CO2 emitter and coal consumer and was responsible for 27.3 percent of the global total CO2 emission and 50.6 percent of the global total coal consumption in 2016 (BP, 2017). As China plays an important role in the global climate change, China has set goals to improve its environmental efficiency and performance. In 2011, the Chinese government for the first time announced an intent to establish carbon emission trading market in China. Eight regional emission trading schemes have been operating since 2013 (seven pilot markets during the 12th Five Year Plan period and one pilot market during the 13th Five Year Plan period) including provinces of Guangdong, Hubei, and Fujian, and cities of Beijing, Tianjin, Shanghai, Shenzhen, and Chongqing. The goal of these regional emission trading pilot markets is to help the government establish an efficient carbon emission trading scheme at national level. Some researchers have been focused on examining the impact of emission trading schemes in China using CGE model by constructing different scenarios and ex-ante analysis using data prior to emission trading pilot markets implementation. While this paper tries to conduct an ex-post analysis with data of 2005-2017 to evaluate the impact of emission trading pilot markets in China at provincial level using difference-in-difference (DID) model. By including both CO2 and SO2 as undesirable outputs to calculate Malmquist-Luenberger (ML) Index to measure green total factor productivity, this paper plans to evaluate the impact of carbon emission trading pilot markets in China via emission reduction, regional green development, synergy effect and influencing channels. This paper tries to answer the following research questions: (1) Do emission trading pilot markets reduce CO2 emission and increase regional green total factor productivity? (2) Is there any synergy effect from emission trading pilot markets? (3) What are the influencing channels of emission trading pilot markets? Keywords: Emission trading, CO2 emissions, Different-in-difference

scholarly journals Complete resource pooling of a load-balancing policy for a network of battery swapping stations

2021 ◽  
Author(s):  
Fiona Sloothaak ◽  
James Cruise ◽  
Seva Shneer ◽  
Maria Vlasiou ◽  
Bert Zwart
Keyword(s):  
Carbon Emission ◽  
Queueing Network ◽  
Service Levels ◽  
Resource Pooling ◽  
Transportation Sector ◽  
Single Station ◽  
Optimal Resource ◽  
Promising Solution ◽  
Reduce Carbon Emission

AbstractTo reduce carbon emission in the transportation sector, there is currently a steady move taking place to an electrified transportation system. This brings about various issues for which a promising solution involves the construction and operation of a battery swapping infrastructure rather than in-vehicle charging of batteries. In this paper, we study a closed Markovian queueing network that allows for spare batteries under a dynamic arrival policy. We propose a provisioning rule for the capacity levels and show that these lead to near-optimal resource utilization, while guaranteeing good quality-of-service levels for electric vehicle users. Key in the derivations is to prove a state-space collapse result, which in turn implies that performance levels are as good as if there would have been a single station with an aggregated number of resources, thus achieving complete resource pooling.

scholarly journals Impact of Population Aging on Carbon Emission in China: A Panel Data Analysis

2018 ◽  
Vol 10 (7) ◽  
pp. 2458 ◽  
Author(s):  
Weidong Li ◽  
Xin Qi ◽  
Xiaojun Zhao
Keyword(s):  
Panel Data ◽  
Carbon Emission ◽  
Population Aging ◽  
Panel Data Analysis ◽  
Negative Relationship ◽  
Modern Society ◽  
Eastern Region ◽  
Low Carbon ◽  
Stirpat Model ◽  
The Impact

The impact of population structure on carbon emission has always been a key area of research in modern society. In this paper, we propose a new expanded STIRPAT model and panel co-integration method to analyze the relationship between population aging and carbon emission, based on the provincial panel data in China from 1999 to 2014. Empirical results show that there exists a significant inverted U-shaped curve between the population aging and carbon emission. There also exist regional discrepancies, where the impact of the population aging on carbon emission in the eastern region is significantly positive. By contrast, a negative relationship arises in the central and western regions. Finally, several suggestions for low carbon development are provided.

Carbon emission risks and management accounting: Australian evidence

2016 ◽  
Vol 29 (2) ◽  
pp. 137-153 ◽  
Author(s):  
Jayanthi Kumarasiri ◽  
Christine Jubb
Keyword(s):  
Carbon Emissions ◽  
Carbon Emission ◽  
Management Accounting ◽  
Interview Data ◽  
Structured Interviews ◽  
Emission Mitigation ◽  
Senior Managers ◽  
Economic Interests ◽  
Content Type ◽  
The Impact

Purpose The purpose of this paper is to apply regulatory mix theory as a framework for investigating the use of management accounting techniques by Australian large listed companies in constraining their carbon emissions. Design/methodology/approach Semi-structured interviews are conducted with senior managers involved with managing their companies’ carbon emission risks. Analysis of the interview data is undertaken with a view to provision of insight to the impact of the regulatory framework imposed to deal with carbon emissions. Findings The findings reveal that regulation impacting companies’ economic interests rather than requiring mere disclosure compliance is much more likely to be behind focusing top management and board attention and use of management accounting techniques to set targets, measure performance and incentivise emission mitigation. However, there remains much scope for increased use of accounting professionals and accounting techniques in working towards a carbon-constrained economy. Research limitations/implications The usual limitations associated with interpretation of interview data are applicable. Practical implications Under-use of management accounting techniques is likely to be associated with less than optimal constraint of carbon emissions. Social implications Carbon emissions are accepted as being involved in harmful climate change. To the extent effective techniques are under-utilised in constraining emissions, harmful consequences for society are likely to be heightened unnecessarily. Originality/value The topic and data collected are original and provide valuable insights into the dynamics of management accounting technique use in managing carbon emissions.

scholarly journals IMPACT OF TRADE OPENNESS ON ENVIRONMENT IN CHINA

2020 ◽  
Vol 21 (4) ◽  
pp. 1185-1202 ◽  
Author(s):  
Wen Jun ◽  
Hamid Mahmood ◽  
Muhammad Zakaria
Keyword(s):  
Carbon Emission ◽  
Trade Openness ◽  
Wavelet Coherence ◽  
Coherence Analysis ◽  
Pollution Haven Hypothesis ◽  
Causality Test ◽  
Pollution Haven ◽  
Analysis Phase ◽  
The Impact ◽  
Wavelet Coherence Analysis

The study investigates the impact of trade openness on pollution in China by applying wavelet-coherence analysis, phase-difference technique and Breitung and Candelon (2006) causality test. The estimated results provide some dynamic association between trade openness and pollutant variables. The results indicate that trade openness has increased pollution in China especially after 2001 when China became member of WTO. It suggests that “pollution haven hypothesis” exists in China. These results imply that trade openness has increased exports which has increased domestic production by increasing the scale of industries, which in turn has increased pollution in the country. The findings of spectral domain causality test show that trade openness causes carbon emission both in short, medium and long runs. It indicates that trade openness forecast carbon emissions in China. The results suggest that China should take suitable measures while following trade openness policy to avoid pollution.

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